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Translational Plastic Surgery

  • 1st Edition - January 29, 2026
  • Latest edition
  • Editors: Adam E.M. Eltorai, Jeffrey A. Bakal, Paul Liu, Loree Kalliainen, Jung Ho Gong
  • Language: English

Translational Plastic Surgery provides a comprehensive overview reflecting the depth and breadth of the field of translational research focused on plastic surgery, with input fro… Read more

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Description

Translational Plastic Surgery provides a comprehensive overview reflecting the depth and breadth of the field of translational research focused on plastic surgery, with input from a distinguished team of basic and clinical investigators. The practical, straightforward approach helps the aspiring investigator navigate challenging considerations in study design and implementation. The book provides valuable discussions of the critical appraisal of published studies in translational plastic surgery research, allowing the reader to learn how to evaluate the quality of such studies with respect to measuring outcomes and to make effective use of all.

Key features

  • Focuses on the principles of evidence-based medicine and applies these principles to the design of translational investigations within plastic surgery
  • Provides a practical, straightforward approach that helps investigators navigate challenging considerations in study design and implementation
  • Includes valuable discussions of the critical appraisal of published studies in translational plastic surgery and provides specific examples from the recent literature

Readership

Plastic surgeons, plastic surgery investigators, basic scientists interested in translating their research into clinical practice

Table of contents

INTRODUCTION

1. Introduction

2. Translational Process

3. Scientific Method

4. Basic research

PRE-CLINCIAL

5. Overview of preclinical research

6. What problem are you solving?

7. Types of interventions

8. Drug discovery

9. Drug testing

10. Device discovery and prototyping

11. Device testing

12. Diagnostic discovery

13. Diagnostic testing

14. Other product types

15. Procedural technique development

16. Behavioral intervention

CLINICAL: FUNDAMENTALS

17. Introduction to clinical research: What is it? Why is it needed?

18. The question: Types of research questions and how to develop them

19. Study population: Who and why them?

20. Outcome measurements: What data is being collected and why?

21. Optimizing the question: Balancing significance and feasibility

STATISTICAL PRINCIPLES

22. Common issues in analysis

23. Basic statistical principles

24. Distributions

25. Hypotheses and error types

26. Power

27. Regression

28. Continuous variable analyses: t-test, Man Whitney, Wilcoxin rank

29. Categorical variable analyses: Chi-square, fisher exact, Mantel hanzel

30. Analysis of variance

31. Correlation

32. Biases

33. Basic science statistics

CLINICAL: STUDY TYPES

34. Design principles: Hierarchy of study types

35. Case series: Design, measures, classic example

36. Case-control study: Design, measures, classic example

37. Cohort study: Design, measures, classic example

38. Cross-section study: Design, measures, classic example

39. Longitudinal study: Design, measures, classic example

40. Clinical trials: Design, measures, classic example

41. Meta-analysis: Design, measures, classic example

42. Cost-effectiveness study: Design, measures, classic example

43. Diagnostic test evaluation: Design, measures, classic example

44. Reliability study: Design, measures, classic example

45. Database studies: Design, measures, classic example

46. Surveys and questionnaires: Design, measures, classic example

47. Qualitative methods and mixed methods

CLINICAL TRIALS

48. Randomized control: Design, measures, classic example

49. Nonrandomized control: Design, measures, classic example

50. Historical control: Design, measures, classic example

51. Cross-over: Design, measures, classic example

52. Withdrawal studies: Design, measures, classic example

53. Factorial design: Design, measures, classic example

54. Group allocation: Design, measures, classic example

55. Hybrid design: Design, measures, classic example

56. Large, pragmatic: Design, measures, classic example

57. Equivalence and noninferiority: Design, measures, classic example

58. Adaptive: Design, measures, classic example

59. Randomization: Fixed or adaptive procedures

60. Blinding: Who and how?

61. Multicenter considerations

62. Registries

63. Phases of clinical trials

64. IDEAL Framework

65. Artificial Intelligence

66. Patient perspectives

CLINICAL: PREPARATION

67. Sample size

68. Budgeting

69. Ethics and review boards

70. Regulatory considerations for new drugs and devices

71. Funding approaches

72. Subject recruitment

73. Data management

74. Quality control

75. Statistical software

76. Report forms: Harm and Quality of Life

77. Subject adherence

78. Survival analysis

79. Monitoring committee in clinical trials

REGULATORY BASICS

80. FDA overview

81. IND

82. New drug application

83. Devices

84. Radiation-emitting electronic products

85. Orphan drugs

86. Biologics

87. Combination products

88. Foods

89. Cosmetics

90. CMC and GxP

91. Non-US regulatory

92. Post-Market Drug Safety Monitoring

93. Post-Market Device Safety Monitoring

CLINICAL IMPLEMENTATION

94. Implementation Research

95. Design and analysis

96. Mixed-methods research

97. Population- and setting-specific implementation

PUBLIC HEALTH

98. Public Health

99. Epidemiology

100. Factors

101. Good questions

102. Population- and environmental-specific considerations

103. Law, policy, and ethics

104. Healthcare institutions and systems

105. Public health institutions and systems

106. Presenting data

107. Manuscript preparation

108. Building a team

109. Patent basics

110. Venture pathways

111. SBIR/STTR

112. Sample forms and templates

Product details

  • Edition: 1
  • Latest edition
  • Published: January 29, 2026
  • Language: English

About the editors

AE

Adam E.M. Eltorai

Dr Adam E. M. Eltorai, MD, PhD completed his graduate studies in Biomedical Engineering and Biotechnology along with his medical degree from Brown University. His work has spanned the translational spectrum with a focus on medical technology innovation and development. Dr. Eltorai has published numerous articles and books.

Affiliations and expertise
Harvard Medical School, Boston, MA, USA

JB

Jeffrey A. Bakal

Dr Jeff Bakal PhD, P.Stat. is the Program Director for Provincial Research Data Services at Alberta Health Services which operates the Alberta Strategy for Patient Oriented Research (SPOR) data platform and Health Service Statistical & Analytics Methods teams. He has over 10 years of experience working with Health Services data and Randomized Clinical Trials. He completed his PhD jointly with the Department of Mathematics and Statistics and the School of Physical Health and Education at Queen's University. He has worked on the methodology and analysis of several international studies in business strategy, ophthalmology, cardiology, geriatric medicine and the analysis of kinematic data resulting in several peer reviewed articles and conference presentations. His current interests are in developing statistical methodology for time-to-event data and the development of classification tools to assist in patient decision making processes.
Affiliations and expertise
Division General Internal Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton Alberta, Canada

PL

Paul Liu

Paul Liu, MD, is Chairman of the Division of Plastic and Reconstructive Surgery at Brown University and Professor of Surgery of Brown University. He earned his medical degree from Harvard Medical School and completed his residencies in general and plastic surgery at Brigham and Women’s Hospital. Dr. Liu has extensive basic science research interests including the use of genetic manipulation of the wound environment to speed healing and using mathematical modeling to accelerate the development of new wound therapeutics. Dr. Liu has developed a research collaboration with mathematicians from Oxford, Nottingham, the University of Southern California, as well as scientists in China to accomplish the latter goal. He was recently awarded Top Doctor from Rhode Island Monthly (2019).
Affiliations and expertise
Chairman, Division of Plastic and Reconstructive Surgery, Brown University Professor, Surgery of Brown University, USA

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